Abstract

Waste Electrical and Electronic Equipment (WEEE) is one of the most significant waste streams in modern societies. In the past decade, disassembly of WEEE
to support remanufacturing
and recycling
has been growingly adopted by industries. With the increasing customization and diversity of Electrical and Electronic Equipment
(EEE) and more complex assembly processes, full disassembly
of WEEE is rarely an ideal solution due to high disassembly cost. Selective disassembly
, which prioritizes operations for partial disassembly according to the legislative and economic considerations of specific stakeholders, is becoming an important but still challenging research topic in recent years. In order to address the issue effectively, in this chapter, a particle swarm optimization (PSO)-based selective disassembly planning
method embedded with customizable decision-making models and a novel generic constraint handling algorithm has been developed. With multi-criteria and adaptive decision-making models, the developed method is flexible to handle WEEE to meet the various requirements of stakeholders. Based on the generic constraint handling and intelligent optimization
algorithms, the developed research is capable to process complex constraints and achieve optimized selective disassembly
plans. Industrial cases on liquid crystal display (LCD)
televisions have been used to verify and demonstrate the effectiveness and robustness of the research in different application scenarios.